Publications by authors named "Kathan Vyas"
J Diabetes Sci Technol
March 2024
Article Synopsis
- Monitoring glucose levels is crucial for managing diabetes, but traditional continuous glucose monitors (CGMs) are costly and invasive, creating a need for affordable, noninvasive alternatives.*
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- This study investigates using electrocardiograms (ECGs) and accelerometers as noninvasive sensors in healthy individuals to predict low and high blood sugar levels, extracting key features from both.*
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- The combined ECG and accelerometer regression model significantly improved prediction accuracy, showing 76% sensitivity and specificity for hypoglycemia and 79% for hyperglycemia, suggesting this approach could enhance diabetes management.*
